[pymvpa] Pattern localization

[Matthias Ekman]

>> >> SVM assigns weights per each category -- positive for +1, negative for
>> >> -1. So it is just to sum up corresponding SVs accordingly... let me
>> >> simply actually patch libsvm's LinearSVMWeights for now... I will let
>> >> you know whenever it is done
>> > Oh great! Thank you very much for putting so much work into this!
>> working on it... although on the way stumbled upon some other elderly
>> code which needed some attention ;)
> 
> so... seems to be done, although once again, interpretation of those is
> not that straight ;)
> 
> in 477a7e98ebffd2d42266e9b5e8e14e49570e624b (which is in already pushed
> yoh/master branch on alioth) I've added ability to parametrize
> LinearSVMWeights of libsvm (only, no sg similar implementation yet) with
> split_weights=True, and that would return then the weighted sum of SVs
> per each (of 2) class. See test_datameasure.py for an example
> 
> the order of colums in that should correspond to the labels reported by
> dataset.uniquelabels, but I've not done explicit testing for that yet --
> so please be cautious ;) it is just that libsvm decides on its own order
> -- I think I took care of mapping it back into original order, but who
> knows ;)

Great news! I'll have a closer look at this and report my experiences as 
soon as possible.


Cheers,
Matthias